Ontologies in Cloud Computing—Review and Future Directions
Cloud computing as a technology has the capacity to enhance cooperation, scalability, accessibility, and offers discount prospects using improved and effective computing, and this capability helps organizations to stay focused. Ontologies are used to model knowledge. Once knowledge is modeled, knowl...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-11-01
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| Series: | Future Internet |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-5903/13/12/302 |
| _version_ | 1797504514815688704 |
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| author | JohnBosco Agbaegbu Oluwasefunmi Tale Arogundade Sanjay Misra Robertas Damaševičius |
| author_facet | JohnBosco Agbaegbu Oluwasefunmi Tale Arogundade Sanjay Misra Robertas Damaševičius |
| author_sort | JohnBosco Agbaegbu |
| collection | DOAJ |
| description | Cloud computing as a technology has the capacity to enhance cooperation, scalability, accessibility, and offers discount prospects using improved and effective computing, and this capability helps organizations to stay focused. Ontologies are used to model knowledge. Once knowledge is modeled, knowledge management systems can be used to search, match, visualize knowledge, and also infer new knowledge. Ontologies use semantic analysis to define information within an environment with interconnecting relationships between heterogeneous sets. This paper aims to provide a comprehensive review of the existing literature on ontology in cloud computing and defines the state of the art. We applied the systematic literature review (SLR) approach and identified 400 articles; 58 of the articles were selected after further selection based on set selection criteria, and 35 articles were considered relevant to the study. The study shows that four predominant areas of cloud computing—cloud security, cloud interoperability, cloud resources and service description, and cloud services discovery and selection—have attracted the attention of researchers as dominant areas where cloud ontologies have made great impact. The proposed methods in the literature applied 30 ontologies in the cloud domain, and five of the methods are still practiced in the legacy computing environment. From the analysis, it was found that several challenges exist, including those related to the application of ontologies to enhance business operations in the cloud and multi-cloud. Based on this review, the study summarizes some unresolved challenges and possible future directions for cloud ontology researchers. |
| first_indexed | 2024-03-10T04:05:40Z |
| format | Article |
| id | doaj.art-be086ba68f3a454f8520cc9f0f981407 |
| institution | Directory Open Access Journal |
| issn | 1999-5903 |
| language | English |
| last_indexed | 2024-03-10T04:05:40Z |
| publishDate | 2021-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Future Internet |
| spelling | doaj.art-be086ba68f3a454f8520cc9f0f9814072023-11-23T08:25:01ZengMDPI AGFuture Internet1999-59032021-11-01131230210.3390/fi13120302Ontologies in Cloud Computing—Review and Future DirectionsJohnBosco Agbaegbu0Oluwasefunmi Tale Arogundade1Sanjay Misra2Robertas Damaševičius3Department of Computer Science, Federal University of Agriculture, Abeokuta, Ogun State P.M.B 2240, NigeriaDepartment of Computer Science, Federal University of Agriculture, Abeokuta, Ogun State P.M.B 2240, NigeriaDepartment of Computer Science and Communication, Ostfold University College, 3001 Halden, NorwayDepartment of Software Department, Kaunas University of Technology, 44249 Kaunas, LithuaniaCloud computing as a technology has the capacity to enhance cooperation, scalability, accessibility, and offers discount prospects using improved and effective computing, and this capability helps organizations to stay focused. Ontologies are used to model knowledge. Once knowledge is modeled, knowledge management systems can be used to search, match, visualize knowledge, and also infer new knowledge. Ontologies use semantic analysis to define information within an environment with interconnecting relationships between heterogeneous sets. This paper aims to provide a comprehensive review of the existing literature on ontology in cloud computing and defines the state of the art. We applied the systematic literature review (SLR) approach and identified 400 articles; 58 of the articles were selected after further selection based on set selection criteria, and 35 articles were considered relevant to the study. The study shows that four predominant areas of cloud computing—cloud security, cloud interoperability, cloud resources and service description, and cloud services discovery and selection—have attracted the attention of researchers as dominant areas where cloud ontologies have made great impact. The proposed methods in the literature applied 30 ontologies in the cloud domain, and five of the methods are still practiced in the legacy computing environment. From the analysis, it was found that several challenges exist, including those related to the application of ontologies to enhance business operations in the cloud and multi-cloud. Based on this review, the study summarizes some unresolved challenges and possible future directions for cloud ontology researchers.https://www.mdpi.com/1999-5903/13/12/302Business processcompliancecloud computingmulti-cloudontology |
| spellingShingle | JohnBosco Agbaegbu Oluwasefunmi Tale Arogundade Sanjay Misra Robertas Damaševičius Ontologies in Cloud Computing—Review and Future Directions Future Internet Business process compliance cloud computing multi-cloud ontology |
| title | Ontologies in Cloud Computing—Review and Future Directions |
| title_full | Ontologies in Cloud Computing—Review and Future Directions |
| title_fullStr | Ontologies in Cloud Computing—Review and Future Directions |
| title_full_unstemmed | Ontologies in Cloud Computing—Review and Future Directions |
| title_short | Ontologies in Cloud Computing—Review and Future Directions |
| title_sort | ontologies in cloud computing review and future directions |
| topic | Business process compliance cloud computing multi-cloud ontology |
| url | https://www.mdpi.com/1999-5903/13/12/302 |
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